• Mahender Singh Rathore
• Toofan Mukherjee
• Shrinath Tailor

In Today we are living in the world of uncertainty and with the growing changing in the world living conditions, the crime is also increasing at the rapid rate. The manual identification of the criminals using the photo traced from the CCTV, is quite the time consuming task and also error prone. We suggests the automated facial feature examination system for the criminal identification using the HAAR approach for the Facial Feature Examination. We have compared the approach using the base paper, which is based on the LBP (Local Binary Pattern) approach, the deficiency of the base papers like inability of recognising the side face , similarity percentage are improved in the proposed approach. The results which are obtained are quite satisfactory and better than the base approach.

HAAR , LBP. Crime Detection

"Novel HAAR Based Approach of Criminal Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.94-103, April-2021, Available :http://www.jetir.org/papers/JETIR2104014.pdf

"Novel HAAR Based Approach of Criminal Detection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp94-103, April-2021, Available at : http://www.jetir.org/papers/JETIR2104014.pdf